Energy Seminar at Harvard with Charles Dawson, Technical Staff @ Emerald AI
Monday, Oct 19, 2026, 5:00 pm - 6:00 pm
Salata Institute for Climate and Sustainability, Room 3.5. Located in the Belfer Building of Harvard Kennedy School, 79 John F. Kennedy Street, Cambridge
Charles Dawson, Technical Staff @ Emerald AI will speak at the next Energy Seminar on Monday, October 19th.
Join to learn how start-up EmeraldAI ($1bn valuation) is transforming flexible large loads across data centers unlocking power capacity for AI while protecting grid reliability and energy affordability.
Dr. Charles Dawson is on the technical staff at Emerald AI, a startup that turns data centers into flexible grid assets. He works on the Grid Services and Research teams, focusing on grid integration, load modeling, and controls. Prior to Emerald AI, Charles was a DOE Energy Innovator Fellow with the Massachusetts Department of Energy Resources, where he worked on load flexibility policy and utility regulation, authoring the state's roadmap for using flexible demand and energy efficiency to support electrification and climate goals. Charles received his PhD from MIT in 2024, where he worked at the intersection of machine learning and control theory for safety-critical infrastructure.
** Note for non-Harvard affiliates and attendees without HUIDs: HKS security requires guest lists to be submitted 2 business days prior. Please register ASAP to guarantee your admission to the event.
Register
Join to learn how start-up EmeraldAI ($1bn valuation) is transforming flexible large loads across data centers unlocking power capacity for AI while protecting grid reliability and energy affordability.
Dr. Charles Dawson is on the technical staff at Emerald AI, a startup that turns data centers into flexible grid assets. He works on the Grid Services and Research teams, focusing on grid integration, load modeling, and controls. Prior to Emerald AI, Charles was a DOE Energy Innovator Fellow with the Massachusetts Department of Energy Resources, where he worked on load flexibility policy and utility regulation, authoring the state's roadmap for using flexible demand and energy efficiency to support electrification and climate goals. Charles received his PhD from MIT in 2024, where he worked at the intersection of machine learning and control theory for safety-critical infrastructure.
** Note for non-Harvard affiliates and attendees without HUIDs: HKS security requires guest lists to be submitted 2 business days prior. Please register ASAP to guarantee your admission to the event.
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